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Author

Shadman Sobhan

Observed name: Sobhan, Shadman
ORCID: 0009-0003-9715-8049
Observed ORCID: 0009-0003-9715-8049
OpenAlex ID: A5117837738
MedPrompt: LLM–CNN Fusion with Weight Routing for Medical Image Segmentation and Classification
2025 · Shadman Sobhan, Kazi Abrar Mahmud, et al. · Biomedical Signal Processing and Control · 2
A Lightweight Framework for Facial Emotion Recognition: Leveraging Geometrical Priors with Spatial Features
2025 · Abduz Zami, Shadman Sobhan, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 1
DeepColonLab: Attention Guided Separable Receptive Field Block Enhanced Deeplabv3+ Model for Colon Polyp Segmentation
2025 · Abduz Zami, Shadman Sobhan · Preprints.org · 1
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LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation
2026 · Sobhan, Shadman, Jalil, Farhana · arXiv (Cornell University)
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UltraLightCPS: An Ultra-Lightweight Colon Polyp Segmentation model using an adaptive compressed multi-scale semantic fusion mechanism
2026 · Abduz Zami, Shadman Sobhan, et al. · Biomedical Signal Processing and Control
TIG-UNet++: A Thresholded Input Guided Modified UNet++ for Separating Lung Region in Chest X-Rays
2026 · Abduz Zami, Shadman Sobhan, et al. · Lecture notes in networks and systems
Edge-Optimized Firefighting Robot: Autonomous Navigation via PID Control and Fire Detection with FOMO Vision
2025 · Kazi Abrar Mahmud, Fahim Ahmed, et al. · International Conference on Electrical Information and Communication Technology (EICT)
A Multi-Stage Deep Learning Approach to Tuberculosis Detection with Explainable Insights
2025 · Shadman Sobhan, Abduz Zami, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
Skin Cancer Classification Using Pre-trained CNNs: A Transfer Learning Approach Addressing Imbalanced Data Challenges
2025 · Shadman Sobhan, Aranya Saha, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
Works count: 10
Citation count: 4
H-index: 1
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